There are many uncertainties in the modelling of discrete fracture networks; largely due to their intense spatial variation and a lack of direct integration between interpreted fracture data at the well level and seismic scale fault interpretations. The method described addresses these two major challenges and demonstrates how these inputs can be used to more accurately predict the orientation and density of fracture sets away from the well locations. Examples are taken from different fields to illustrate how computed fracture sets can be generated and verified against the well data using blind tests; and ultimately demonstrate how the method can improve well placement in fractured reservoirs.


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